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在 OpenClaw 中安装
/install score-query
功能描述
学分查询技能
安全使用建议
This skill's code implements a simple local lookup of student scores from a bundled JSON file and does not request secrets or network access, which is low-risk. However the SKILL.md/README declare ffmpeg as a required binary even though the code never uses it — ask the author why ffmpeg is required before installing or running. Recommended actions: (1) Inspect the included files yourself (index.js and database/scores.json) — they are short and readable. (2) If you will run the skill, do so in a sandbox/container if you cannot confirm the ffmpeg requirement. (3) Request clarification or a corrected metadata/manifest from the publisher (remove ffmpeg if unnecessary). (4) Note the minor metadata/version inconsistencies (package.json vs module metadata) as indicators of sloppy packaging; prefer a well-documented source or repo before trusting widely.
能力评估
Purpose & Capability
The skill's name/description and code implement a local student-score query using a bundled JSON file — nothing in the code or README needs ffmpeg. However the SKILL.md/README metadata declares a required binary: ffmpeg. Requiring ffmpeg is unrelated to a score-query skill and is disproportionate/unexplained.
Instruction Scope
The SKILL.md instructions are minimal and the runtime code's behavior is clear: parse the input, read the local database (database/scores.json), and return scores. The instructions/code do not reference other system files, environment variables, network endpoints, or exfiltration.
Install Mechanism
There is no install spec (instruction-only), which limits installation risk. However the package includes code files (index.js and database JSON). No install-time downloads or extract operations are declared. This is low-risk, but the presence of code means users should still review it before running.
Credentials
The skill requests no environment variables, no credentials, and no config paths. That is proportionate to the stated purpose. The only oddity is the declared required binary (ffmpeg) in metadata despite no use of it in code; this does not involve secrets but is an unexplained external dependency.
Persistence & Privilege
The skill does not request persistent/always-on presence (always is false), does not modify other skills or system-wide settings, and only reads its own bundled JSON file. No elevated privileges are requested.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install score-query - 安装完成后，直接呼叫该 Skill 的名称或使用
/score-query触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.0.2
- Updated to version 0.0.2.
- Added metadata section with description, emoji, and required dependency (ffmpeg).
- No changes to functionality or query modes.
- Improved SKILL.md formatting with OpenClaw metadata.
v0.0.1
Initial release of 学分查询技能:
- Supports querying individual subject scores by student name and subject.
- Allows retrieval of all scores across subjects for a given student.
- Provides conversion from conversational to standard subject names for flexible queries.
元数据
常见问题
学分查询技能 是什么？
学分查询技能. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 79 次。
如何安装 学分查询技能？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install score-query」即可一键安装，无需额外配置。
学分查询技能 是免费的吗？
是的，学分查询技能 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
学分查询技能 支持哪些平台？
学分查询技能 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 学分查询技能？
由 bc96（@bc96）开发并维护，当前版本 v0.0.2。
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